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20232026
most citedFast and High-Performance Learned Image Compression With Improved Checkerboard Context Model, Deformable Residual Module, and Knowledge Distillation

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eess.IV2026

ChWDTA: Channel-wise Wavelet-Domain Transformer Attention and Entropy Modeling for Learned Image Compression

Haisheng Fu, Runyu Yang, Feng Ding +5

State-of-the-art learned image compression (LIC) schemes are increasingly based on hybrid CNN-transformer architectures. To further improve rate-distortion performance, we introduc…

eess.IV2026

ML-CLIPSim: Multi-Layer CLIP Similarity for Machine-Oriented Image Quality

Feng Ding, Haisheng Fu, Jie Liang +3

We study full-reference image quality assessment from a machine-centric perspective, where images are evaluated by how well they preserve information for downstream models. We form…